 Hello and welcome to the AI for Good Global Summit. I'm delighted to be joined by our guest today, who is Uwe Bader, the Director of International Relations at Rode and Schwarz. Welcome. Thank you for having me here. No problem. Uwe, tell us, you're exhibiting at the exhibition. What are you doing? That's right, yes. We are not only exhibiting, we are part of the security concept. So we have a security scanner at the entrance. And well, the story for us is that this security scanner works with AI algorithms. So that is why we thought it's a perfect combination of the things that we usually do with the ITU. So we are very much engaged with the radio wave technology, measuring radio waves and so on. And this instrument is based on the one hand on the radio technology, but it uses AI and we think that is a perfect combination to exhibit at the AI for Good event. It also has, of course, a lot of features to make this event secure at the end. And so we said, OK, let's not have it only in the exhibition. So let's integrate it into the concept for the security. And so that people can really experience by themselves how modern security check can work. How does it work then? What is different? Well, the basic difference is that it works on a kind of radar technology with radio waves. And this is done by a lot of radio modules and generates a lot of backscattered data. And we all capture this data and this goes into a well-trained AI algorithm and needs a lot of calculation, but we could enhance that so that it can even work in a kind of walk-through operation mode. So you don't need to stand still for this event. So we have another product for airports where you need to stand still, where we take a scan and this takes about four to five seconds. But here you can slowly walk through and this is especially designed for events like AI for Good. For example, at the Munich Security Conference we also had it at the stadium for ice hockey games and so these kind of events are the target for these new security scanners. The interesting part is that compared to the classical metal detectors it can detect also other objects which are not made out of metal. So a metal detector might be good if you have a metal knife, right? But if you have the same knife made out of ceramics, this detector will not find it. We can see it, we can detect it and then of course a manual check can be done and can be then taken away or whatever. We can also detect all other kinds of materials like explosives but also if you would intend to smuggle trucks into an event or into a facility or let's have a factory that is producing fruit, right? We know that somebody brings in anything which should not end up in a package of cereals or whatever. So you can also see that this event, this place is then having a high decree of security in the production, for example. And one of the challenges that you spoke to me about was finding young talent. Tell me about that. That's right, it's another part why we are here. The skills that we need to develop such products, of course they are changing. AI is not only in this product, AI machine learning is used in a lot of other solutions that we do to enhance them. We need talents which have this knowledge, this capacity in developing AI. I'm not saying using AI because I think now younger people are used to have their studies and enhanced by AI when they use chat GPT or whatever. But here for us it's really that you use AI in the design of a new product. So we really work with it from the fundamentals and this is very important for us. We are looking for a high number of talents here. We have a lot of open positions in that field. We think it's also then a kind of advertisement that these are cool jobs where you can apply the latest thing in technology and enhance products and not boring at all. Okay, but not enough university courses, not enough of this teaching at school level? It's hard to say. I mean a basic mathematical foundation is of course needed for AI. That's clear but I believe we need to get more specific training courses on that as well. What we for example do, we also have engineering challenges for example where we take young students from university and have a kind of challenge where they get a problem, they get a set of data like training data and then they need to combine that in a solution and you can win a prize at the end. So this is also how to attract them and make it more visible what kind of skills are needed in this area. What about the challenges of AI for a private company such as yourselves? Well, the one is of course talents in that field. However there are also challenges on how regulation of AI will be done in the future. An important topic so far in our products. We are very much working on machine learning on a kind of an engineering level so at the moment we don't see that regulation for us is a big issue. However it also needs to be considered in the future as AI is taking more and more part of our social life of course and that might be a challenge in the future for private companies as well. Tell me about the importance of a platform such as this summit for the dialogue around AI. Yes, AI is still a new technology. We think an event like this brings together a lot of different stakeholders and we like this dialogue between academia, industry to get ideas with what you can do with this new technology, how it can end up in new products solutions and this makes this event very valuable. Uwe Beder, thank you so much for your time and your insights. There's more coming up on the AI for Good Global Summit here in Geneva.